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Brain Imaging and Behavior — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Radiology, Nuclear Medicine and Imaging #41 of 288 -
Psychiatry and Mental Health #76 of 502 up up by 11 ranks
Behavioral Neuroscience #14 of 78 up up by 4 ranks
Neurology (clinical) #68 of 343 up up by 17 ranks
Cognitive Neuroscience #24 of 96 up up by 7 ranks
Neurology #41 of 156 up up by 11 ranks
Cellular and Molecular Neuroscience #41 of 88 up up by 5 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 714 Published Papers | 4303 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 21/06/2020
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Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

3.391

1% from 2018

Impact factor for Brain Imaging and Behavior from 2016 - 2019
Year Value
2019 3.391
2018 3.418
2017 3.719
2016 3.985
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6.0

2% from 2019

CiteRatio for Brain Imaging and Behavior from 2016 - 2020
Year Value
2020 6.0
2019 6.1
2018 5.1
2017 5.1
2016 5.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 2% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.239

6% from 2019

SJR for Brain Imaging and Behavior from 2016 - 2020
Year Value
2020 1.239
2019 1.325
2018 1.167
2017 1.32
2016 1.566
graph view Graph view
table view Table view

1.096

0% from 2019

SNIP for Brain Imaging and Behavior from 2016 - 2020
Year Value
2020 1.096
2019 1.1
2018 0.879
2017 0.869
2016 0.906
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 6% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 0% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Brain Imaging and Behavior

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Springer

Brain Imaging and Behavior

This journal seeks to publish innovative, clinically-relevant research using neuroimaging approaches to enhance the understanding of neural mechanisms underlying disorders of cognition, affect and motivation, and their treatment or prevention. Neuroimaging methods include but ...... Read More

Medicine

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Last updated on
21 Jun 2020
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ISSN
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Medium - 0.808
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No
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Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1007/S11682-012-9156-5
A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury

Abstract:

Mild traumatic brain injury (mTBI), also referred to as concussion, remains a controversial diagnosis because the brain often appears quite normal on conventional computed tomography (CT) and magnetic resonance imaging (MRI) scans. Such conventional tools, however, do not adequately depict brain injury in mTBI because they ar... Mild traumatic brain injury (mTBI), also referred to as concussion, remains a controversial diagnosis because the brain often appears quite normal on conventional computed tomography (CT) and magnetic resonance imaging (MRI) scans. Such conventional tools, however, do not adequately depict brain injury in mTBI because they are not sensitive to detecting diffuse axonal injuries (DAI), also described as traumatic axonal injuries (TAI), the major brain injuries in mTBI. Furthermore, for the 15 to 30 % of those diagnosed with mTBI on the basis of cognitive and clinical symptoms, i.e., the "miserable minority," the cognitive and physical symptoms do not resolve following the first 3 months post-injury. Instead, they persist, and in some cases lead to long-term disability. The explanation given for these chronic symptoms, i.e., postconcussive syndrome, particularly in cases where there is no discernible radiological evidence for brain injury, has led some to posit a psychogenic origin. Such attributions are made all the easier since both posttraumatic stress disorder (PTSD) and depression are frequently co-morbid with mTBI. The challenge is thus to use neuroimaging tools that are sensitive to DAI/TAI, such as diffusion tensor imaging (DTI), in order to detect brain injuries in mTBI. Of note here, recent advances in neuroimaging techniques, such as DTI, make it possible to characterize better extant brain abnormalities in mTBI. These advances may lead to the development of biomarkers of injury, as well as to staging of reorganization and reversal of white matter changes following injury, and to the ability to track and to characterize changes in brain injury over time. Such tools will likely be used in future research to evaluate treatment efficacy, given their enhanced sensitivity to alterations in the brain. In this article we review the incidence of mTBI and the importance of characterizing this patient population using objective radiological measures. Evidence is presented for detecting brain abnormalities in mTBI based on studies that use advanced neuroimaging techniques. Taken together, these findings suggest that more sensitive neuroimaging tools improve the detection of brain abnormalities (i.e., diagnosis) in mTBI. These tools will likely also provide important information relevant to outcome (prognosis), as well as play an important role in longitudinal studies that are needed to understand the dynamic nature of brain injury in mTBI. Additionally, summary tables of MRI and DTI findings are included. We believe that the enhanced sensitivity of newer and more advanced neuroimaging techniques for identifying areas of brain damage in mTBI will be important for documenting the biological basis of postconcussive symptoms, which are likely associated with subtle brain alterations, alterations that have heretofore gone undetected due to the lack of sensitivity of earlier neuroimaging techniques. Nonetheless, it is noteworthy to point out that detecting brain abnormalities in mTBI does not mean that other disorders of a more psychogenic origin are not co-morbid with mTBI and equally important to treat. They arguably are. The controversy of psychogenic versus physiogenic, however, is not productive because the psychogenic view does not carefully consider the limitations of conventional neuroimaging techniques in detecting subtle brain injuries in mTBI, and the physiogenic view does not carefully consider the fact that PTSD and depression, and other co-morbid conditions, may be present in those suffering from mTBI. Finally, we end with a discussion of future directions in research that will lead to the improved care of patients diagnosed with mTBI. read more read less

Topics:

Concussion (64%)64% related to the paper, Brain damage (55%)55% related to the paper, Traumatic brain injury (54%)54% related to the paper, Neuroimaging (52%)52% related to the paper, Psychogenic disease (51%)51% related to the paper
View PDF
807 Citations
open accessOpen access Journal Article DOI: 10.1007/S11682-013-9269-5
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Paul M. Thompson1, Jason L. Stein2, Sarah E. Medland3, Derrek P. Hibar1, Alejandro Arias Vasquez4, Miguel E. Rentería3, Roberto Toro5, Neda Jahanshad1, Gunter Schumann6, Barbara Franke4, Margaret J. Wright3, Nicholas G. Martin3, Ingrid Agartz7, Ingrid Agartz8, Martin Alda9, Saud Alhusaini10, Saud Alhusaini11, Laura Almasy12, Jorge R. C. Almeida13, Jorge R. C. Almeida9, Jorge R. C. Almeida14, Kathryn I. Alpert15, Nancy C. Andreasen16, Ole A. Andreassen8, Liana G. Apostolova2, Katja Appel17, Nicola J. Armstrong18, Benjamin S. Aribisala19, Mark E. Bastin19, Michael Bauer20, Carrie E. Bearden2, Ørjan Bergmann8, Elisabeth B. Binder21, John Blangero12, HJ Bockholt, Erlend Bøen8, Catherine Bois19, Dorret I. Boomsma22, Tom Booth19, Ian Bowman1, Janita Bralten4, Rachel M. Brouwer23, Han G. Brunner4, David G. Brohawn24, Randy L. Buckner24, Jan K. Buitelaar4, Kazima B. Bulayeva25, Juan R. Bustillo26, Vince D. Calhoun27, Vince D. Calhoun26, Dara M. Cannon28, Rita M. Cantor2, Melanie A. Carless12, Xavier Caseras29, Gianpiero L. Cavalleri10, M. Mallar Chakravarty30, Kiki D. Chang31, Christopher R.K. Ching1, Andrea Christoforou32, Andrea Christoforou8, Sven Cichon33, Sven Cichon34, Vincent P. Clark26, Patricia J. Conrod35, Patricia J. Conrod6, Giovanni Coppola2, Benedicto Crespo-Facorro, Joanne E. Curran12, Michael Czisch21, Ian J. Deary19, Eco J. C. de Geus22, Anouk den Braber22, G. Delvecchio6, Chantal Depondt36, Lieuwe de Haan37, Lieuwe de Haan22, Greig I. de Zubicaray38, Danai Dima6, Rali Dimitrova19, Srdjan Djurovic8, Hong-Wei Dong1, Gary Donohoe39, Gary Donohoe28, Ravindranath Duggirala12, Thomas D. Dyer12, Stefan Ehrlich24, Stefan Ehrlich20, Carl Johan Ekman7, Torbjørn Elvsåshagen8, Louise Emsell28, Susanne Erk40, Thomas Espeseth8, Jesen Fagerness24, Scott C. Fears2, Iryna O. Fedko22, Guillén Fernández4, Simon E. Fisher4, Simon E. Fisher21, Tatiana Foroud41, Peter T. Fox, Clyde Francks4, Clyde Francks21, Sophia Frangou42, Eva Maria Frey43, Thomas Frodl43, Thomas Frodl39, Vincent Frouin, Hugh Garavan44, Sudheer Giddaluru32, David C. Glahn45, Beata R. Godlewska46, Rita Z. Goldstein42, Randy L. Gollub24, Hans J. Grabe17, Oliver Grimm47, Oliver Gruber48, Tulio Guadalupe21, Raquel E. Gur49, Ruben C. Gur49, Ruben C. Gur50, Harald H H Göring12, Saskia P. Hagenaars19, Tomas Hajek9, Geoffrey B. Hall51, Jeremy Hall29, Jeremy Hall19, John Hardy52, Catharina A. Hartman53, Johanna Hass20, Sean N. Hatton18, Unn K. Haukvik8, K Hegenscheid17, Andreas Heinz40, Ian B. Hickie18, Beng-Choon Ho16, D. Hoehn21, Pieter J. Hoekstra53, Marisa O. Hollinshead24, Avram J. Holmes24, Georg Homuth17, Martine Hoogman4, L. Elliot Hong54, Norbert Hosten17, Jouke-Jan Hottenga22, Hilleke E. Hulshoff Pol23, Kristy S. Hwang55, Clifford R. Jack56, Mark Jenkinson46, Caroline Johnston6, Caroline Johnston57, Erik G. Jönsson7, René S. Kahn23, Dalia Kasperaviciute52, Sinead Kelly39, Sungeun Kim41, Peter Kochunov54, Laura Koenders22, Laura Koenders37, Bernd Krämer48, John B.J. Kwok58, John B.J. Kwok59, Jim Lagopoulos18, Gonzalo Laje, Mikael Landén7, Mikael Landén60, Bennett A. Landman61, John Lauriello62, Stephen M. Lawrie19, Phil Lee24, Phil Lee63, Stephanie Le Hellard8, Stephanie Le Hellard32, Herve Lemaitre64, Cassandra D. Leonardo1, Chiang shan Li45, Benny Liberg7, David C. Liewald19, Xinmin Liu65, Xinmin Liu66, Lorna M. Lopez19, Eva Loth6, Anbarasu Lourdusamy67, Michelle Luciano19, Fabio Macciardi68, Fabio Macciardi69, Marise W. J. Machielsen37, Marise W. J. Machielsen22, Glenda MacQueen70, Ulrik Fredrik Malt8, René C.W. Mandl23, Dara S. Manoach24, Jean-Luc Martinot64, Mar Matarin52, Karen A. Mather58, Manuel Mattheisen34, Manuel Mattheisen71, Morten Mattingsdal8, Andreas Meyer-Lindenberg47, Colm McDonald28, Andrew M. McIntosh19, Francis J. McMahon65, Katie L. McMahon38, Eva M. Meisenzahl72, Ingrid Melle8, Yuri Milaneschi65, Yuri Milaneschi22, Sebastian Mohnke40, Grant W. Montgomery3, Derek W. Morris39, Eric K. Moses12, Eric K. Moses73, Bryon A. Mueller, Susana Muñoz Maniega19, Thomas W. Mühleisen34, Bertram Müller-Myhsok21, Benson Mwangi74, Matthias Nauck17, Kwangsik Nho41, Thomas E. Nichols75, Lars-Göran Nilsson76, Lars-Göran Nilsson77, Allison C. Nugent65, Lars Nyberg78, Rene L. Olvera79, Jaap Oosterlaan22, Roel A. Ophoff2, Roel A. Ophoff23, Massimo Pandolfo36, Melina Papalampropoulou-Tsiridou19, Martina Papmeyer19, Tomáš Paus30, Zdenka Pausova30, Godfrey D. Pearlson17, Godfrey D. Pearlson45, Brenda W.J.H. Penninx22, Charles P. Peterson12, Andrea Pfennig20, Mary L. Phillips13, G. Bruce Pike70, Jean-Baptiste Poline80, Steven G. Potkin68, Benno Pütz21, Adaikalavan Ramasamy6, Adaikalavan Ramasamy52, Jerod M. Rasmussen68, Marcella Rietschel47, Mark Rijpkema4, Shannon L. Risacher41, Joshua L. Roffman24, Roberto Roiz-Santiañez, Nina Romanczuk-Seiferth40, Emma J. Rose, Natalie A. Royle19, Dan Rujescu81, Mina Ryten6, Mina Ryten52, Perminder S. Sachdev58, Alireza Salami78, Alireza Salami76, Theodore D. Satterthwaite49, Jonathan Savitz82, Jonathan Savitz83, Andrew J. Saykin41, Cathy Scanlon28, Lianne Schmaal22, Hugo G. Schnack23, Andrew J. Schork84, S. Charles Schulz, Remmelt R. Schür23, Larry J. Seidman24, Li Shen41, Jody M. Shoemaker27, Andrew Simmons6, Andrew Simmons85, Sanjay M. Sisodiya52, Colin Smith19, Jordan W. Smoller63, Jordan W. Smoller24, Jair C. Soares74, Scott R. Sponheim86, Scott R. Sponheim87, Emma Sprooten45, John M. Starr19, Vidar M. Steen8, Vidar M. Steen32, Stephen M. Strakowski88, Lachlan T. Strike3, Jessika E. Sussmann19, Philipp G. Sämann21, Alexander Teumer17, Arthur W. Toga1, Diana Tordesillas-Gutiérrez, Daniah Trabzuni89, Daniah Trabzuni52, Sarah Trost48, Jessica A. Turner90, Jessica A. Turner27, Martijn P. van den Heuvel23, Nic J.A. van der Wee91, Kristel R. van Eijk23, Theo G.M. van Erp68, Neeltje E.M. van Haren23, Dennis van 't Ent22, Marie-José van Tol53, Maria C. Valdés Hernández19, Dick J. Veltman22, Amelia Versace13, Henry Völzke17, Robert Walker19, Henrik Walter40, Henrik Walter92, Lei Wang15, Joanna M. Wardlaw19, Michael E. Weale6, Michael W. Weiner93, Wei Wen58, Lars T. Westlye8, Heather C. Whalley19, Christopher D. Whelan10, Tonya White94, Anderson M. Winkler45, Anderson M. Winkler46, Katharina Wittfeld17, Girma Woldehawariat65, Christiane Wolf21, David Zilles48, Marcel P. Zwiers4, Anbupalam Thalamuthu58, Peter R. Schofield58, Peter R. Schofield59, Nelson B. Freimer2, Natalia Lawrence95, Wayne C. Drevets96
University of Southern California1, University of California, Los Angeles2, QIMR Berghofer Medical Research Institute3, Radboud University Nijmegen4, Pasteur Institute5, King's College London6, Karolinska Institutet7, University of Oslo8, Dalhousie University9, Royal College of Surgeons in Ireland10, McGill University11, Texas Biomedical Research Institute12, University of Pittsburgh13, Brown University14, Northwestern University15, University of Iowa16, University of Greifswald17, University of Sydney18, University of Edinburgh19, Dresden University of Technology20, Max Planck Society21, VU University Amsterdam22, Utrecht University23, Harvard University24, Russian Academy of Sciences25, University of New Mexico26, The Mind Research Network27, National University of Ireland, Galway28, Cardiff University29, University of Toronto30, Stanford University31, University of Bergen32, University of Basel33, University of Bonn34, Université de Montréal35, Université libre de Bruxelles36, University of Amsterdam37, University of Queensland38, Trinity College, Dublin39, Charité40, Indiana University41, Icahn School of Medicine at Mount Sinai42, University of Regensburg43, University of Vermont44, Yale University45, University of Oxford46, Heidelberg University47, University of Göttingen48, University of Pennsylvania49, Veterans Health Administration50, McMaster University51, University College London52, University of Groningen53, University of Maryland, Baltimore54, Oakland University55, Mayo Clinic56, National Health Service57, University of New South Wales58, Neuroscience Research Australia59, University of Gothenburg60, Vanderbilt University61, University of Missouri62, Broad Institute63, University of Paris64, National Institutes of Health65, Columbia University66, University of Nottingham67, University of California, Irvine68, University of Milan69, University of Calgary70, Aarhus University71, Ludwig Maximilian University of Munich72, University of Western Australia73, University of Texas Health Science Center at Houston74, University of Warwick75, Stockholm University76, Allen Institute for Brain Science77, Umeå University78, University of Texas Health Science Center at San Antonio79, University of California, Berkeley80, Martin Luther University of Halle-Wittenberg81, University of Tulsa82, McGovern Institute for Brain Research83, University of California, San Diego84, South London and Maudsley NHS Foundation Trust85, United States Department of Veterans Affairs86, University of Minnesota87, University of Cincinnati88, Alfaisal University89, Georgia State University90, Leiden University91, Humboldt University of Berlin92, University of California, San Francisco93, Erasmus University Rotterdam94, University of Exeter95, Johnson & Johnson96

Abstract:

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA stud... The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way. read more read less

Topics:

Alzheimer's Disease Neuroimaging Initiative (51%)51% related to the paper
View PDF
713 Citations
Journal Article DOI: 10.1007/S11682-012-9164-5
Chronic traumatic encephalopathy: neurodegeneration following repetitive concussive and subconcussive brain trauma.

Abstract:

Chronic Traumatic Encephalopathy (CTE) is a neurodegenerative disease thought to be caused, at least in part, by repetitive brain trauma, including concussive and subconcussive injuries It is thought to result in executive dysfunction, memory impairment, depression and suicidality, apathy, poor impulse control, and eventually... Chronic Traumatic Encephalopathy (CTE) is a neurodegenerative disease thought to be caused, at least in part, by repetitive brain trauma, including concussive and subconcussive injuries It is thought to result in executive dysfunction, memory impairment, depression and suicidality, apathy, poor impulse control, and eventually dementia Beyond repetitive brain trauma, the risk factors for CTE remain unknown CTE is neuropathologically characterized by aggregation and accumulation of hyperphosphorylated tau and TDP-43 Recent postmortem findings indicate that CTE may affect a broader population than was initially conceptualized, particularly contact sport athletes and those with a history of military combat Given the large population that could potentially be affected, CTE may represent an important issue in public health Although there has been greater public awareness brought to the condition in recent years, there are still many research questions that remain Thus far, CTE can only be diagnosed post-mortem Current research efforts are focused on the creation of clinical diagnostic criteria, finding objective biomarkers for CTE, and understanding the additional risk factors and underlying mechanism that causes the disease This review examines research to date and suggests future directions worthy of exploration read more read less

Topics:

Chronic traumatic encephalopathy (65%)65% related to the paper, Dementia pugilistica (60%)60% related to the paper, Population (52%)52% related to the paper, Poison control (51%)51% related to the paper, Concussion (50%)50% related to the paper
View PDF
452 Citations
open accessOpen access Journal Article DOI: 10.1007/S11682-012-9186-Z
Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI)

Abstract:

We sought to develop and evaluate a composite memory score from the neuropsychological battery used in the Alzheimer’s Disease (AD) Neuroimaging Initiative (ADNI). We used modern psychometric approaches to analyze longitudinal Rey Auditory Verbal Learning Test (RAVLT, 2 versions), AD Assessment Schedule - Cognition (ADAS-Cog,... We sought to develop and evaluate a composite memory score from the neuropsychological battery used in the Alzheimer’s Disease (AD) Neuroimaging Initiative (ADNI). We used modern psychometric approaches to analyze longitudinal Rey Auditory Verbal Learning Test (RAVLT, 2 versions), AD Assessment Schedule - Cognition (ADAS-Cog, 3 versions), Mini-Mental State Examination (MMSE), and Logical Memory data to develop ADNI-Mem, a composite memory score. We compared RAVLT and ADAS-Cog versions, and compared ADNI-Mem to RAVLT recall sum scores, four ADAS-Cog-derived scores, the MMSE, and the Clinical Dementia Rating Sum of Boxes. We evaluated rates of decline in normal cognition, mild cognitive impairment (MCI), and AD, ability to predict conversion from MCI to AD, strength of association with selected imaging parameters, and ability to differentiate rates of decline between participants with and without AD cerebrospinal fluid (CSF) signatures. The second version of the RAVLT was harder than the first. The ADAS-Cog versions were of similar difficulty. ADNI-Mem was slightly better at detecting change than total RAVLT recall scores. It was as good as or better than all of the other scores at predicting conversion from MCI to AD. It was associated with all our selected imaging parameters for people with MCI and AD. Participants with MCI with an AD CSF signature had somewhat more rapid decline than did those without. This paper illustrates appropriate methods for addressing the different versions of word lists, and demonstrates the additional power to be gleaned with a psychometrically sound composite memory score. read more read less

Topics:

Alzheimer's Disease Neuroimaging Initiative (51%)51% related to the paper
View PDF
449 Citations
open accessOpen access Journal Article DOI: 10.1007/S11682-012-9176-1
A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment

Abstract:

The Alzheimer’s Disease Neuroimaging Initiative (ADNI) measures abilities broadly related to executive function (EF), including WAIS-R Digit Symbol Substitution, Digit Span Backwards, Trails A and B, Category Fluency, and Clock Drawing. This study investigates whether a composite executive function measure based on these mult... The Alzheimer’s Disease Neuroimaging Initiative (ADNI) measures abilities broadly related to executive function (EF), including WAIS-R Digit Symbol Substitution, Digit Span Backwards, Trails A and B, Category Fluency, and Clock Drawing. This study investigates whether a composite executive function measure based on these multiple indicators has better psychometric characteristics than the widely used individual components. We applied item response theory methods to 800 ADNI participants to derive an EF composite score (ADNI-EF) from the above measures. We then compared ADNI-EF with component measures in 390 longitudinally-followed participants with mild cognitive impairment (MCI) with respect to: (1) Ability to detect change over time; (2) Ability to predict conversion to dementia; (3) Strength of cross-sectional association with MRI-derived measures of structures involved in frontal systems, and (4) Strength of baseline association with cerebrospinal fluid (CSF) levels of amyloid β1-42, total tau, and phosphorylated tau181P. ADNI-EF showed the greatest change over time, followed closely by Category Fluency. ADNI-EF needed a 40 % smaller sample size to detect change. ADNI-EF was the strongest predictor of AD conversion. ADNI-EF was the only measure significantly associated with all the MRI regions, though other measures were more strongly associated in a few of the regions. ADNI-EF was associated with all the CSF measures. ADNI-EF appears to be a useful composite measure of EF in MCI, as good as or better than any of its composite parts. This study demonstrates an approach to developing a psychometrically sophisticated composite score from commonly-used tests. read more read less

Topics:

Alzheimer's Disease Neuroimaging Initiative (54%)54% related to the paper
374 Citations
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Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Brain Imaging and Behavior citation style.

4. Can I use the Brain Imaging and Behavior templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Brain Imaging and Behavior.

5. Can I use a manuscript in Brain Imaging and Behavior that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Brain Imaging and Behavior that you can download at the end.

6. How long does it usually take you to format my papers in Brain Imaging and Behavior?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Brain Imaging and Behavior.

7. Where can I find the template for the Brain Imaging and Behavior?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Brain Imaging and Behavior's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Brain Imaging and Behavior's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Brain Imaging and Behavior an online tool or is there a desktop version?

SciSpace's Brain Imaging and Behavior is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Brain Imaging and Behavior?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Brain Imaging and Behavior?”

11. What is the output that I would get after using Brain Imaging and Behavior?

After writing your paper autoformatting in Brain Imaging and Behavior, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Brain Imaging and Behavior's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Brain Imaging and Behavior?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Brain Imaging and Behavior. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Brain Imaging and Behavior?

The 5 most common citation types in order of usage for Brain Imaging and Behavior are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Brain Imaging and Behavior?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Brain Imaging and Behavior's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Brain Imaging and Behavior in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Brain Imaging and Behavior Endnote style according to Elsevier guidelines.

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I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

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